Spectrum sharing and resource allocation for energy-efficient heterogeneous cognitive radio networks with femtocells
Spectrum sharing and resource allocation for energy-efficient heterogeneous cognitive radio networks with femtocells
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DOI：
10.1109/icc.2012.6364100
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发表时间：
2012-06
期刊：
影响因子：
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通讯作者：
Renchao Xie;F. Richard Yu;Hong Ji
中科院分区：
文献类型：
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作者：
Renchao Xie;F. Richard Yu;Hong Ji
在具有毫微微小区的异构无线网络中，毫微微小区和宏小区之间的干扰问题应该被仔细考虑。在具有毫微微蜂窝的异构无线网络中，使用认知无线电进行干扰管理是一种很有前途的技术。在本文中，我们研究的能源效率方面的频谱共享和资源分配的异构无线网络与毫微微蜂窝和认知无线电。我们使用干扰的代价来建模毫微微小区和宏小区之间的干扰。我们制定的干扰管理和功率分配的问题作为一个Stackelberg游戏。此外，提出了一种基于价格更新的迭代算法，以获得能源效率的资源分配问题的Stackelberg均衡解。仿真结果表明，该方案可以显着提高异构无线网络中的能量效率与毫微微蜂窝和认知无线电。
In heterogeneous wireless networks with femtocells, the issue of interference between femtocells and macrocells should be carefully considered. Using cognitive radio for interference management is a promising technique in heterogeneous wireless networks with femtocells. In this paper, we study the energy efficiency aspect of spectrum sharing and resource allocation in heterogeneous wireless networks with femtocells and cognitive radios. We use the price of interference to model the interference between femtocells and macrocells. We formulate the problem of interference management and power allocation as a Stackelberg game. In addition, an iteration algorithm based on price updating is proposed to obtain the Stackelberg equilibrium solution to the resource allocation problem for energy efficiency. Simulation results are presented to show that the proposed scheme can improve energy efficiency significantly in heterogeneous wireless networks with femtocells and cognitive radios.